Practice Data Preparation (6.4) - Data Collection - Transportation Engineering

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10 questions

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4 cards from this section. Quick, good the night before a test.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is data correction and why is it important?
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Think about why accuracy matters in surveys.
Question 2.
Describe the purpose of sample expansion.
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How do we ensure our smaller data set accurately represents a bigger group?
3Question 3.
What does data correction help to achieve?
- Enhance data accuracy
- Reduce data
- Increase costs
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Think about why we worry about data quality.
4Question 4.
True or False: Sample expansion is only performed if the survey sample is too small.
- True
- False
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Consider the purpose of accurately reflecting the overall population.
Question 5.
If a survey collects data indicating an average household size of 3 but census data reveals 5, what adjustments need to be made?
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Consider how the sample size correlates with actual census data.
Question 6.
Given survey results of 150 completed responses out of a total of 600 households, with 50 no responses, calculate the expansion factor, and explain its significance.
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Use the expansion factor formula correctly to yield your conclusions.

6 more questions in this section. Enroll free to practise them all.